{"labels":{"en":"Spatio-temporal Deep Learning for Joint Forecasting of Distributed Renewable Generation and Electricity Demand under Uncertainty"},"descriptions":{"en":"scientific paper published in CEUR-WS Volume 4242"},"claims":{"P31":"Q13442814","P1433":"Q141603269","P1476":{"text":"Spatio-temporal Deep Learning for Joint Forecasting of Distributed Renewable Generation and Electricity Demand under Uncertainty","language":"en"},"P407":"Q1860","P953":"https://ceur-ws.org/Vol-4242/paper13.pdf","P50":[],"P2093":[{"value":"Tetiana Hovorushchenko","qualifiers":{"P1545":"1"}},{"value":"Vitalii Alekseiko","qualifiers":{"P1545":"2"}},{"value":"Jan Rabchan","qualifiers":{"P1545":"3"}},{"value":"Olha Atamaniuk","qualifiers":{"P1545":"4"}},{"value":"Abdel-Badeeh M. Salem","qualifiers":{"P1545":"5"}},{"value":"Yurii Voichur","qualifiers":{"P1545":"6"}}]}}